Thomas E. Meigs

1.2k citations
27 papers · 1.2k · h-index 16

Impact in

    • Cell Adhesion Molecules Research
    • Protein Kinase Regulation and GTPase Signaling
    • Receptor Mechanisms and Signaling
    • Wnt/β-catenin signaling in development and cancer
    • Plant biochemistry and biosynthesis

Papers in

    • Cell Adhesion Molecules Research 4
    • Protein Kinase Regulation and GTPase Signaling 10
    • Receptor Mechanisms and Signaling 4
    • Wnt/β-catenin signaling in development and cancer 3

Thomas E. Meigs

26 papers receiving 1.1k citations

Peers

Thomas E. Meigs
Comparison fields: 5 of 67
  • Immunology and Allergy 87
  • Molecular Biology 713
  • Cell Biology 109
  • Cancer Research 80
  • Developmental Neuroscience 13
Replace Matthew N. Hodgkin with:
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Citations per field
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Citations per year

Countries citing papers authored by Thomas E. Meigs

Since Specialization
Citations

This map shows the geographic impact of Thomas E. Meigs's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thomas E. Meigs with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas E. Meigs more than expected).

Fields of papers citing papers by Thomas E. Meigs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas E. Meigs. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thomas E. Meigs. The network helps show where Thomas E. Meigs may publish in the future.

Co-authors

The 25 scholars most cited alongside Thomas E. Meigs, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas E. Meigs Line = papers co-authored together Thomas E. Meigs links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996128
2 1998117
3 2007115
4 2001112
5 2002109
6 2004103
7 1997100
8 200165
9 200443
10 200141
11 200536
12 199231
13 200524
14 201024
15 200721
16 199518
17 200315
18 198913
19 201411
20 201610

About Thomas E. Meigs

Thomas E. Meigs is a scholar working on Immunology and Allergy, Molecular Biology, Cancer Research, Cell Biology and Genetics, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (10 papers), Receptor Mechanisms and Signaling (4 papers), Cholesterol and Lipid Metabolism (4 papers), Cell Adhesion Molecules Research (4 papers), Wnt/β-catenin signaling in development and cancer (3 papers), Spider Taxonomy and Behavior Studies (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Immunology and Allergy (87 citations), Molecular Biology (713 citations), Cell Biology (109 citations), Cancer Research (80 citations) and Developmental Neuroscience (13 citations). Thomas E. Meigs has collaborated with scholars based in United States, Norway and Spain. Frequent co-authors include Patrick J. Casey, Robert Simoni, Daniel D. Kaplan, Jennifer L. Glick, Alexander Miron, Robert W. Brackenbury, Mary Fedor‐Chaiken, Bradley M. Denker, Timothy A. Fields and David D. McKee. Their work appears in journals such as Journal of Biological Chemistry, Cellular Signalling, Molecular Pharmacology, Journal of Arachnology and Proceedings of the National Academy of Sciences.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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